Welcome to our Recommendations Page!

Looking for a new romance book? Want to get into some classics? Looking to read another book by your favorite author? Fear not! You can find book recommendations right here. Search by your favorite author or genre and your preferred rating.

Have fun reading!

library(tidyverse)
library(shiny)
library(bslib)
library(dplyr)

knitr::opts_chunk$set(echo = TRUE)

books = read_csv("./Data/books_with_tags.csv")

## Rows: 9300 Columns: 20
## ── Column specification ──────────────────────────────────────────────────────────────────────────────────────────
## Delimiter: ","
## chr  (9): isbn, authors, title, image_url, top_1, top_2, top_3, top_4, top_5
## dbl (11): book_id, goodreads_book_id, average_rating, ratings_count, work_ratings_count, work_text_reviews_cou...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

books_clean = books |> 
  select(-isbn,-ratings_count,-work_ratings_count,-work_text_reviews_count)

books_rate <- books_clean |>
  mutate(average_rating = round(average_rating*2)/2)

authors <- unique(books_rate$authors)

ui <- fluidPage(

  selectInput("search_by", 
              label = "Search by:", 
              choices = c("Select", "Author", "Genre")),

  conditionalPanel(
    condition = "input.search_by == 'Author'",
    selectizeInput("authors", 
                   label = "Start typing an author's name:", 
                   choices = authors, 
                   options = list(
                     placeholder = 'Select an author...',
                     create = FALSE, 
                     maxItems = 1,
                     highlight = TRUE))
  ),

  conditionalPanel(
    condition = "input.search_by == 'Genre'",
    selectInput("search_genre", 
                label = "Choose Genre(s):", 
                choices = unique(c(books_rate$top_1, books_rate$top_2, books_rate$top_3, books_rate$top_4, books_rate$top_5)), 
                multiple = TRUE)  
  ),
  
  conditionalPanel( 
    condition = "input.search_by == 'Genre' || input.search_by == 'Author'",
    selectInput("average_rating", 
                label = "Choose Rating:", 
                choices = unique(books_rate$average_rating), 
                selected = NULL)
  ),
  
  actionButton("recommend", "Get Recommendations"),
  
  h3("Your Recommended Books:"),
  uiOutput("book_list")
)

## Warning: The select input "authors" contains a large number of options; consider using server-side selectize for
## massively improved performance. See the Details section of the ?selectizeInput help topic.

## Warning: The select input "search_genre" contains a large number of options; consider using server-side selectize
## for massively improved performance. See the Details section of the ?selectizeInput help topic.

server <- function(input, output, session) {
  
  filtered_books <- reactive({
    booktok <- books_rate
    
    if (length(input$search_genre) > 0) {
      booktok <- booktok %>%
        filter(
          top_1 %in% input$search_genre | 
          top_2 %in% input$search_genre | 
          top_3 %in% input$search_genre | 
          top_4 %in% input$search_genre | 
          top_5 %in% input$search_genre
        )
    }
    
    if (input$search_by == "Author" && input$authors != "") {
      booktok <- booktok %>% filter(authors == input$authors)
    }
    
    
    if (!is.null(input$average_rating) && input$average_rating != "") {
      booktok <- booktok %>% filter(average_rating == as.numeric(input$average_rating))
    }
    
    booktok %>% distinct(title, .keep_all = TRUE)
  })
  
  observeEvent(input$recommend, {
    output$book_list <- renderUI({
      booktok <- filtered_books()
       
      if (nrow(booktok) < 5 && !is.null(input$average_rating)) { 
        selected_rating <- as.numeric(input$average_rating)
        
        lower_rating_books <- books_rate %>% 
          filter(average_rating == (selected_rating - 1)) %>% 
          distinct(title, .keep_all = TRUE)
        
        # Only bind rows if there are books with lower rating
        if (nrow(lower_rating_books) > 0) {
          booktok <- bind_rows(booktok, lower_rating_books)
        }
      }
      
      books_to_show <- head(booktok, 5)
      
        if (nrow(books_to_show) > 0) {
        tagList(
          lapply(1:nrow(books_to_show), function(i) {
            lower_rated <- books_to_show$average_rating[i] < as.numeric(input$average_rating)
            
            div(
              img(src = books_to_show$image_url[i], width = "250px", height = "300px"),  
              strong(books_to_show$title[i]), 
              if (lower_rated) {
                span(style = "color: brown; font-weight: bold;", "(Rated Below Your Selection)")
              },
              p(paste("Rating:", books_to_show$average_rating[i]))
            )
          })
        )
      } else {
        p("No books found based on your selection.")
      }
    })
  })
}

shinyApp(ui = ui, server = server)